Urinary Angiotensinogen as a Novel Mortality Predictor in Diabetic Kidney Disease: A Propensity-Matched Analysis from the KNOW-CKD

Clicks: 21
ID: 314531
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #153 of 232 articles by views in clinical kidney journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 232 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Background Patients with diabetic kidney disease (DKD) face a substantially higher risk of premature death compared to non-diabetic counterparts, yet accurate biomarkers for stratifying this mortality risk beyond conventional kidney function measures are currently lacking. We investigated whether urinary angiotensinogen (UAGT), reflecting intrarenal renin-angiotensin-aldosterone system activity, predicts all-cause mortality differently among patients with versus without diabetes in chronic kidney disease (CKD). Methods This prospective cohort study included 824 propensity score-matched patients (412 with diabetes, 412 without diabetes) from the Korean Cohort Study for Outcome in Patients with Chronic Kidney Disease. Participants were categorized into quintiles by baseline urinary angiotensinogen-to-creatinine ratio (UAGT/Cr). Cox proportional hazards models estimated adjusted hazard ratios (HRs) for all-cause mortality. Results During median follow-up of 8.9 years, 149 deaths occurred. In patients with diabetes, the highest UAGT/Cr quintile was independently associated with increased mortality compared to the reference quintile (adjusted HR 3.61, 95% confidence interval 1.67-7.81, P<0.001) after adjustment for kidney function, proteinuria, and comorbidities. Penalized spline analysis demonstrated a monotonic relationship between UAGT/Cr and mortality in patients with diabetes. In contrast, no significant association was observed in patients without diabetes (P for interaction <0.001). Findings remained robust in sensitivity analyses. Conclusion UAGT/Cr independently predicts all-cause mortality specifically in CKD patients with diabetes but not in those without diabetes, suggesting its potential utility as an etiology-specific prognostic biomarker for risk stratification in diabetic kidney disease.
Reference Key
openalex_W7162017474 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sang Heon Suh, Dohyeon Lee, Hong Sang Choi, Chang Seong Kim, Eun Hui Bae, Seong Kwon Ma, Kook-Hwan Oh, Soo Wan Kim
Are you one of these authors? Claim your profile
Journal clinical kidney journal
Year 2026
DOI
10.1093/ckj/sfag165
URL
https://doi.org/10.1093/ckj/sfag165
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.